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AIコンパニオンとAIコンポーザーの開発に従事するデータサイエンティストを募集しています。ユーザーの相互作用を分析し、AIアシスタントの品質と価値を向上させるため、データ駆動型の洞察を生成し、製品開発を導く重要な役割を担います。アシスタントのインタラクションを評価し、改善機会を特定することが主な業務となります。

Craifについて 人々が天寿を全うする社会の実現 —— がんという人類最大の課題から、医療の未来を変える Craifは、2018年に創業した名古屋大学発のバイオAIスタートアップです。「人々が天寿を全うする社会の実現」を掲げ、がんをはじめとする病によって人生の可能性が失われることのない未来を創ろうとしています。がんは、日本では2人に1人が罹患するといわれ、4000年もの間、人類が克服できていない最も大きな課題のひとつです。一方で、がん検診の受診率は40%前後にとどまり、多くの人が早期発見の機会を逃しているのが現状です。誰もが検診の重要性を頭では理解していても、日々の忙しさや「病気は治療するもの」という意識の根強さから、行動にはなかなかつながりません。 Craifは、こうした心理的・社会的なハードルをテクノロジーで乗り越え、誰もが自然に予防・早期発見へと行動できる社会の実現に向けた根本的な課題解決に挑んでいます。 About Craif Realizing a society where people can live out their natural lifespan — changing the future of medicine, starting with cancer, humanity’s greatest challenge. Craif is a Bio-AI startup founded in 2018, originating from Nagoya University. Under the mission of “realizing a society where people can live out their natural lifespan,” the company aims to create a future where lives are no longer cut short by diseases like cancer. In Japan, it’s said that 1 in 2 people will develop cancer — a challenge humanity has been unable to overcome for over 4,000 years. Meanwhile, cancer screening rates remain around 40%, meaning many people miss the chance for early detection. Craif is using technology to overcome these psychological and social barriers, tackling the fundamental challenge of creating a society where everyone can naturally take steps toward prevention and early detection. Recruitment Background & Career Path Advanced data science expertise spanning both machine learning and biology is essential for improving the accuracy of testing systems like miSignal and developing new methods. As the business expands, there is an urgent need to strengthen the team with people who can handle everything from model development to operational automation and advancement. This position seeks someone who can lead omics data analysis and new test system development, driving the creation of clinically valuable models. In the future, this role can grow into a core R&D career involving architecture design for the entire ML pipeline and planning of new tests. Job Description Japanese is not required for this p

This position is employed by Money Forward, Inc. and seconded to Money Forward Home Co., Ltd., with evaluation systems and benefits aligned with Money Forward. At the Data Forward Department, our mission is to 'Drive products and businesses forward with data and AI.' As our services grow, both our user base and business potential are expanding rapidly. In this environment, expanding and stabilizing our data utilization infrastructure is an urgent priority. We are looking for individuals who can work with us toward this mission. You will play a vital role in driving data utilization for 'Money Forward ME' and accelerating business growth. Working closely with business departments such as marketing and sales, you will be responsible for everything from analysis design to the planning and execution of measures to solve business challenges. Specifically, you will lead the development of a beneficial data mart environment (datasets) within our internal analysis platform for members across all job functions related to 'Money Forward ME.' Beyond supporting data-driven decision-making, we expect you to contribute to the product development itself through the power of data. Through data, you can maximize the value of 'Money Forward ME' and accelerate business growth alongside numerous stakeholders. Since data is at the core of our decision-making, building and operating the data infrastructure is a critical role that directly supports the growth of the business. Furthermore, your impact will not be limited to data analysis and infrastructure management; you will also have the opportunity to engage in product feature development itself, such as integrating AI functionalities. You will be proactively involved in the entire process, from environment construction to operation and continuous improvement. Business commitment: A strong drive to go beyond technical implementation, contributing to business and product problem-solving through data and persevering until results are delivered. Passion for change and improvemen